Artificial Intelligence for Business Optimization: Research and Applications
暫譯: 商業優化的人工智慧:研究與應用

Unhelkar, Bhuvan, Gonsalves, Tad

  • 出版商: CRC
  • 出版日期: 2021-08-10
  • 售價: $3,950
  • 貴賓價: 9.5$3,753
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367638363
  • ISBN-13: 9780367638368
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

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商品描述

This is primarily a business book that discusses the research and associated practical application of artificial intelligence (AI) and machine learning (ML) in order to achieve business optimization (BO). AI comprises a wide range of technologies, databases, algorithms, and devices. This book aims for a holistic approach to AI by focusing on developing business strategies that will not only automate but also optimize business functions, processes, and people's behaviors.

Artificial Intelligence for Business Optimization: Research and Applications explores AI and ML from a business viewpoint with the key purpose of enhancing customer value. It applies research methods and fundamentals from a practitioner's viewpoint and incorporates discussions around risks and changes associated with the utilization of AI in business. Furthermore, governance risks, privacy, and security are also addressed in this book to ensure compliance with AI/ML applications. Readers should find direct and practical applications of the discussions in this book quite useful in their work environment. Researchers will find many ideas to further explore the applications of AI to business.

商品描述(中文翻譯)

這主要是一本商業書籍,討論人工智慧(AI)和機器學習(ML)的研究及其相關的實際應用,以實現商業優化(BO)。人工智慧涵蓋了廣泛的技術、數據庫、算法和設備。本書旨在通過專注於制定商業策略,採取整體方法來看待人工智慧,這些策略不僅能自動化,還能優化商業功能、流程和人員行為。

《人工智慧與商業優化:研究與應用》從商業的角度探討人工智慧和機器學習,主要目的是提升客戶價值。它從實務者的角度應用研究方法和基本原則,並納入有關在商業中使用人工智慧所帶來的風險和變化的討論。此外,本書還針對治理風險、隱私和安全問題進行了探討,以確保符合人工智慧/機器學習應用的要求。讀者應該會發現本書中討論的直接和實用的應用在他們的工作環境中非常有用。研究人員將會找到許多想法,以進一步探索人工智慧在商業中的應用。

作者簡介

Dr Bhuvan Unhelkar (BE, MDBA, MSc, PhD, FACS) has extensive strategic and hands- on professional experience in the Information and Communication Technologies (ICT) industry. He is a full Professor and lead faculty of IT at the University of South Florida Sarasota-Manatee (USFSM), and is the founder and Consultant at MethodScience and PlatiFi. He is also an adjunct Professor at Western Sydney University, Australia and an honorary Professor at Amity University, India . His current industrial research interests include AI and ML in Business Optimization, Big Data and business value and Business Analysis in the context of Agile. Dr. Unhelkar holds a Certificate-IV in TAA and TAE, Professional Scrum Master - I, SAFe (Scaled Agile Framework for Enterprise) Leader and is a Certified Business Analysis Professional(R) (CBAP of the IIBA). Tad Gonsalves is full Professor in the Department of Information & Communication Sciences, Sophia University, Tokyo, Japan. Dr. Gonsalves' research areas include Bio-inspired Optimization techniques and application of Deep Learning techniques to diverse problems like autonomous driving, drones, digital art and computational linguistics. He holds a BS in theoretical Physics and MS in Astrophysics and earned his PhD in Information Systems from Sophia University, Tokyo, Japan. His research lab in Tokyo specializes in multi-GPU computing. Dr. Gonsalves is the author of Introduction to AI: A Non-Technical Introduction, (Sophia Univ. Press, 2017) which serves as a standard AI textbook for the university curriculum.

作者簡介(中文翻譯)

布凡·昂赫卡博士(BE, MDBA, MSc, PhD, FACS)在資訊與通信技術(ICT)產業擁有豐富的戰略和實務經驗。他是南佛羅里達大學薩拉索塔-馬尼提校區(USFSM)的全職教授及資訊科技系主任,也是MethodScience和PlatiFi的創辦人及顧問。他同時也是澳洲西悉尼大學的兼任教授及印度阿米提大學的榮譽教授。他目前的產業研究興趣包括商業優化中的人工智慧(AI)和機器學習(ML)、大數據與商業價值,以及在敏捷(Agile)背景下的商業分析。昂赫卡博士持有TAA和TAE的四級證書、專業Scrum Master - I、SAFe(企業規模敏捷框架)領導者資格,並且是國際商業分析師協會(IIBA)認證的商業分析專業人士(CBAP)。

塔德·貢薩爾維斯(Tad Gonsalves)是日本東京的上智大學資訊與通信科學系的全職教授。貢薩爾維斯博士的研究領域包括生物啟發的優化技術以及深度學習技術在自駕車、無人機、數位藝術和計算語言學等多樣問題上的應用。他擁有理論物理學的學士學位和天體物理學的碩士學位,並在日本東京的上智大學獲得資訊系統的博士學位。他在東京的研究實驗室專注於多GPU計算。貢薩爾維斯博士是《人工智慧導論:非技術性導論》(上智大學出版社,2017)的作者,該書作為大學課程的標準人工智慧教科書。

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